TY - GEN
T1 - Design and Validation of Flexible Aerial Robotics for Safe Human-Robot Interaction
AU - Jia, Fuhua
AU - Zheng, Zihao
AU - Li, Cheng'ao
AU - Xiao, Junlin
AU - Li, Rui
AU - Yang, Xiaoying
AU - Rushworth, Adam
AU - Ijaz, Salman
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This work addresses the critical challenge of integrating drones into human-aerial robot interaction by presenting a novel Soft Flexible Aerial Robotics (SFAR) design. SFAR features an innovative low-pressure inflatable airbag structure that replaces traditional rigid frames, enhancing safety by mitigating collision risks with humans and payloads. To control this unconventional aerial platform, we present a control strategy based on a virtual link dynamics model that exploits the drone's unique design. Our contributions include the pioneering design of an aerial robot specifically for Human-Aerial Robot Interaction (HARI), a novel control framework that balances flight performance with passive safety, and the validation of SFAR through real-world experiments, demonstrating its ability to perform at par with traditional rigid-body drones while offering enhanced safety features for seamless and safe integration into human environments.
AB - This work addresses the critical challenge of integrating drones into human-aerial robot interaction by presenting a novel Soft Flexible Aerial Robotics (SFAR) design. SFAR features an innovative low-pressure inflatable airbag structure that replaces traditional rigid frames, enhancing safety by mitigating collision risks with humans and payloads. To control this unconventional aerial platform, we present a control strategy based on a virtual link dynamics model that exploits the drone's unique design. Our contributions include the pioneering design of an aerial robot specifically for Human-Aerial Robot Interaction (HARI), a novel control framework that balances flight performance with passive safety, and the validation of SFAR through real-world experiments, demonstrating its ability to perform at par with traditional rigid-body drones while offering enhanced safety features for seamless and safe integration into human environments.
UR - http://www.scopus.com/inward/record.url?scp=85216489822&partnerID=8YFLogxK
U2 - 10.1109/IROS58592.2024.10801991
DO - 10.1109/IROS58592.2024.10801991
M3 - Conference contribution
AN - SCOPUS:85216489822
T3 - IEEE International Conference on Intelligent Robots and Systems
SP - 9342
EP - 9347
BT - 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024
Y2 - 14 October 2024 through 18 October 2024
ER -